Advanced reasoning model API • Open Source • Artificial Intelligence 15 334 Layout Agent 2.0 Thinks before it builds Website Builder • No-Code • Vibe coding
DeepSeek-R1 is a powerful, open-source language model focused on advanced reasoning. It uses a unique RL-driven approach and a 671B MoE architecture to achieve state-of-the-art results, outperforming comparable models on various benchmarks.
DeepSeek R1 provides comprehensive evaluation results across math (AIME, MATH-500), code (Codeforces, LiveCodeBench), and reasoning (MMLU, DROP) benchmarks. Users can access detailed performance metrics to compare against GPT-4o, Claude-3.5-Sonnet, and OpenAI-o1.
DeepSeek R1 open-sources both the base model and reasoning data used for distillation. Researchers can use this data to fine-tune their own models or study how reasoning capabilities emerge through reinforcement learning without supervised fine-tuning.
DeepSeek R1-Distill models (1.5B to 70B parameters) distill reasoning capabilities from the full 671B model into smaller dense models. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini on multiple benchmarks while being significantly smaller and cheaper to run.
DeepSeek R1 is fully open-sourced on HuggingFace and GitHub. Users can download model weights, run locally using vLLM or SGLang, or access via OpenAI-compatible API at platform.deepseek.com. This provides flexibility for both research and production use cases.
DeepSeek R1 uses reinforcement learning to generate detailed reasoning chains and self-verification, achieving performance comparable to OpenAI-o1 on AIME, MATH-500, and Codeforces benchmarks. Users can see the model's thinking process via <think> tags, enabling debugging and validation of reasoning steps.